Yan‐Lin He

4.1k total citations
236 papers, 3.1k citations indexed

About

Yan‐Lin He is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Yan‐Lin He has authored 236 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Control and Systems Engineering, 78 papers in Artificial Intelligence and 58 papers in Mechanical Engineering. Recurrent topics in Yan‐Lin He's work include Fault Detection and Control Systems (108 papers), Mineral Processing and Grinding (46 papers) and Machine Learning and ELM (41 papers). Yan‐Lin He is often cited by papers focused on Fault Detection and Control Systems (108 papers), Mineral Processing and Grinding (46 papers) and Machine Learning and ELM (41 papers). Yan‐Lin He collaborates with scholars based in China, Macao and Japan. Yan‐Lin He's co-authors include Qunxiong Zhu, Yuan Xu, Shuxiang Guo, Liwei Shi, Zhong-Sheng Chen, Zhiqiang Geng, Ning Zhang, Yuan Xu, Shaowu Pan and Ye Tian and has published in prestigious journals such as Journal of Applied Physics, Food Chemistry and Applied Energy.

In The Last Decade

Yan‐Lin He

218 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yan‐Lin He China	30	1.5k	856	791	399	396	236	3.1k
Barry Lennox United Kingdom	32	1.9k 1.3×	414 0.5×	1.0k 1.3×	341 0.9×	601 1.5×	195	3.9k
Yongfang Xie China	34	1.4k 0.9×	1.0k 1.2×	1.4k 1.8×	193 0.5×	398 1.0×	301	4.0k
Zhi-Xin Yang Macao	32	1.7k 1.2×	638 0.7×	937 1.2×	501 1.3×	351 0.9×	203	3.6k
Jiankai Xue China	10	793 0.5×	1.2k 1.4×	392 0.5×	778 1.9×	540 1.4×	18	3.6k
Jing Wang China	28	1.4k 0.9×	490 0.6×	549 0.7×	1.1k 2.9×	239 0.6×	316	3.5k
Yuan Yao Taiwan	33	2.2k 1.5×	565 0.7×	1.5k 1.9×	268 0.7×	154 0.4×	234	4.0k
Weihua Gui China	44	3.9k 2.6×	1.3k 1.5×	1.5k 1.9×	863 2.2×	261 0.7×	293	6.5k
Fan Yang China	32	2.9k 2.0×	829 1.0×	1.0k 1.3×	299 0.7×	190 0.5×	213	4.1k
Alessandro Beghi Italy	28	1.2k 0.8×	476 0.6×	607 0.8×	392 1.0×	195 0.5×	193	3.1k

Countries citing papers authored by Yan‐Lin He

Since Specialization

Citations

This map shows the geographic impact of Yan‐Lin He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yan‐Lin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Lin He more than expected).

Fields of papers citing papers by Yan‐Lin He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Lin He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yan‐Lin He. The network helps show where Yan‐Lin He may publish in the future.

Co-authorship network of co-authors of Yan‐Lin He

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Lin He. A scholar is included among the top collaborators of Yan‐Lin He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan‐Lin He. Yan‐Lin He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Qiong, et al.. (2025). Coupled heat and mass transfer analysis for indoor air quality and thermal comfort in naturally ventilated offices. Applied Thermal Engineering. 269. 126019–126019. 3 indexed citations

Jin, Ningde, et al.. (2025). A new probability distribution with properties and statistical analysis of the human resource and radiation data. Journal of Radiation Research and Applied Sciences. 18(4). 101927–101927.

Zhang, Ning, et al.. (2024). Quality-driven deep feature representation learning and its industrial application to soft sensors. Journal of Process Control. 142. 103300–103300. 2 indexed citations

Xu, Yuanming, et al.. (2024). Latent temporal smoothness-induced Schatten-p norm factorization for sequential subspace clustering. Engineering Applications of Artificial Intelligence. 139. 109476–109476. 3 indexed citations

Zhu, Qunxiong, et al.. (2024). Novel distributed broad seasonal trend learning system for industrial soft sensing application. IFAC-PapersOnLine. 58(14). 97–102. 1 indexed citations

Zhang, Ning, et al.. (2024). Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing. IEEE Transactions on Industrial Informatics. 20(10). 12168–12177. 5 indexed citations

Zhang, Ning, et al.. (2024). IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis. Expert Systems with Applications. 255. 124681–124681. 7 indexed citations

Yang, Junfeng, et al.. (2023). Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data. Expert Systems with Applications. 238. 122393–122393. 32 indexed citations

He, Yan‐Lin, et al.. (2023). Error analysis and correction method of multi-core fiber sensing. Optical Fiber Technology. 82. 103649–103649. 1 indexed citations

10.

He, Yan‐Lin, et al.. (2023). Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data. Expert Systems with Applications. 225. 120085–120085. 27 indexed citations

11.

He, Yan‐Lin, et al.. (2023). Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor Applications. IEEE Transactions on Industrial Informatics. 20(3). 4745–4752. 6 indexed citations

12.

He, Yan‐Lin, Lei Chen, Yuan Xu, Qunxiong Zhu, & Shan Lu. (2022). A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing. IEEE Transactions on Instrumentation and Measurement. 72. 1–8. 12 indexed citations

13.

Jiang, Xue, Yuan Xu, Wei Ke, et al.. (2022). An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 33 indexed citations

14.

Du, Banghua, Yu Zhang, Tiezhou Wu, Yan‐Lin He, & Zilong Li. (2021). An online identification method for equivalent model parameters of aging lithium-ion batteries. Energy Storage Science and Technology. 10(1). 342.

15.

Zhu, Qunxiong, et al.. (2019). A novel intelligent model integrating PLSR with RBF-Kernel based Extreme Learning Machine: Application to modelling petrochemical process. IFAC-PapersOnLine. 52(1). 148–153. 9 indexed citations

16.

Geng, Zhiqiang, et al.. (2019). Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis. Asian Control Conference. 1495–1500. 1 indexed citations

17.

He, Yan‐Lin, Xu Zhang, Lianqing Zhu, Guangkai Sun, & Junfei Qiao. (2019). DESIGN AND IMPLEMENTATION OF THE VISUAL DETECTION SYSTEM FOR AMPHIBIOUS ROBOTS. International Journal of Robotics and Automation. 34(4). 3 indexed citations

18.

Xing, Huiming, et al.. (2018). Hybrid Locomotion Evaluation for a Novel Amphibious Spherical Robot. Applied Sciences. 8(2). 156–156. 65 indexed citations

19.

Guo, Shuxiang, et al.. (2017). Visual Detection and Tracking System for a Spherical Amphibious Robot. Sensors. 17(4). 870–870. 40 indexed citations

20.

Zhao, J. L., et al.. (1993). Study of proper motions in the region of the open cluster M67 and membership of stars. Astronomy & Astrophysics Supplement Series. 100(2). 243–261. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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